6 papers
Quantum-enhanced Large Language Models on Quantum Hardware via Cayley Unitary Adapters
Borja Aizpurua, Sukhbinder Singh, Augustine Kshetrimayum +2
Large language models (LLMs) have transformed artificial intelligence, yet classical architectures impose a fundamental constraint: every trainable parameter demands classical memo…
Empirical Study of Observable Sets in Multiclass Quantum Classification
Paul San Sebastian, Mikel Cañizo, Roman Orus
Variational quantum algorithms have gained attention as early applications of quantum computers for learning tasks. In the context of supervised learning, most of the works that ta…
Hacking Cryptographic Protocols with Tensor Network Attacks
Borja Aizpurua, Siddhartha Patra, Josu Etxezarreta Martinez +1
Here we introduce the application of Tensor Networks (TN) to launch attacks on symmetric-key cryptography. Our approaches make use of Matrix Product States (MPS) as well as our rec…
Tensor Networks for Explainable Machine Learning in Cybersecurity
Borja Aizpurua, Samuel Palmer, Roman Orus
In this paper we show how tensor networks help in developing explainability of machine learning algorithms. Specifically, we develop an unsupervised clustering algorithm based on M…
Hacking Cryptographic Protocols with Advanced Variational Quantum Attacks
Borja Aizpurua, Pablo Bermejo, Josu Etxezarreta Martinez +1
Here we introduce an improved approach to Variational Quantum Attack Algorithms (VQAA) on crytographic protocols. Our methods provide robust quantum attacks to well-known cryptogra…
Quantum Large Language Models via Tensor Network Disentanglers
Borja Aizpurua, Saeed S. Jahromi, Fernando Loren +2
We introduce a framework for seamlessly integrating quantum computing into pretrained large language models (LLMs). The key idea is to construct a hybrid quantum-classical represen…